Unmanned Aerial Vehicles for Precision Agriculture

This seminar is CSCI 6999 eligible

Speaker

Jefferson Souza, Federal University of Uberlandia

Abstract

The detection of pests in coffee crops is a highly relevant problem for Brazilian agriculture. This issue has been investigated for decades but still has great potential for scientific research. Coffee is a culture of great social and economic importance for Brazilian agribusiness. In Brazil, the state of Minas Gerais has the largest area of the Arabian species, corresponding to 67.7% of the occupied area. As a result, this culture presents fundamental highlight in the national and international scenario. Due to the influence that the coffee production has in these scenarios and the size occupied by their areas, as well as the opportunity of a significant increase in production, this research project proposes the development of the detection of pests in coffee crops for aircraft. It is intended to use aerial images obtained by UAVs (Unmanned Aerial Vehicles) to detect pests found in coffee. Supervised learning algorithms are used to correlate information obtained from sensors positioned on the UAV with its aerial images. Initially, the system has a learning step, where a pilot fly the UAV or the UAV flies autonomously and provide data (obtained by cameras) for the learning algorithms. After that, the system uses the acquired knowledge to detect pests in coffee crops.

Bio

Jefferson Souza is an Adjunct Professor in the Department of Computer Science at the Faculty of Computing - Federal University of Uberlandia. He obtained his Ph.D. degree in Computer Science from the University of Sao Paulo in 2014. During his Ph.D., he spent one year as a Visiting Researcher at The University of Sydney (2013). His main research interest is the development of robotic systems for precision agriculture, computer vision, machine learning, remote sensing, and intelligent transportation systems. Prof. Souza is the director of the Artificial Intelligence & Robotics - AiRLAB.

 

Time

Starts:
Ends:

Location

CS Auditorium (#127)
Goldberg Computer Science Building
Dalhousie University
6050 University Avenue, Halifax